End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-finetuned-eos_poc5_ge-di-v7-meeting-v1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wav2vec2-base-finetuned-eos_poc5_ge-di-v7-meeting-v1
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6530
+- Accuracy: 0.6517
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6904        | 1.0   | 119  | 0.6895          | 0.5569   |
+| 0.6738        | 2.0   | 238  | 0.6754          | 0.6517   |
+| 0.6731        | 3.0   | 357  | 0.6666          | 0.6517   |
+| 0.6722        | 4.0   | 476  | 0.6614          | 0.6517   |
+| 0.6627        | 5.0   | 595  | 0.6579          | 0.6517   |
+| 0.645         | 6.0   | 714  | 0.6558          | 0.6517   |
+| 0.6468        | 7.0   | 833  | 0.6545          | 0.6517   |
+| 0.6559        | 8.0   | 952  | 0.6536          | 0.6517   |
+| 0.6589        | 9.0   | 1071 | 0.6532          | 0.6517   |
+| 0.6397        | 10.0  | 1190 | 0.6530          | 0.6517   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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